Disclaimer: This is not financial or investment advice.

About Arm Holdings (ARM) – Arm makes money by licensing its chip designs to semiconductor companies and smartphone makers such as Apple and Qualcomm. Arm’s latest advanced chip technology, called Armv9, generates higher royalty rates than its previous Armv8. It is also making progress in the high-end cloud server processor market by selling chip technology to Microsoft and Nvidia.

Strong Q2 Results – Arm Holdings reported better-than-expected earnings results earlier in Nov’25. For Q2, the chip designer reported adjusted earnings per share of 39 cents, compared to Wall Street’s consensus estimate of 33 cents, according to FactSet. Revenue came in at $1.135 billion, which was ahead of analysts’ expectations of $1.06 billion. Arm also gave a strong outlook. It said revenue for the current quarter would be $1.225 billion at the midpoint of its range, versus the $1.11 billion average analyst estimate. “Arm delivers unmatched performance, efficiency, and software breadth across the full range of AI workloads,” the company said in a shareholder letter.

Looking ahead – the company expects Q3 revenue to be $1.23 billion. Profit will be 41 cents a share. Those targets compare with analysts’ average estimates of 35 cents a share on sales of $1.1 billion. The outlook signals that Arm is beginning to see increasing rewards from investment in new technology aimed at winning a place in data centers that are being built to support artificial intelligence computing.

I see the stock at $160-170 in next 3 months.

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Disclaimer: This is not financial or investment advice.

Why Google, Broadcom, Alibaba stocks are up while Nvidia and AMD are down!

Here is the answer – initial read is that Gemini 3 is reportedly faster and performs with deeper reasoning than ChatGPT and is integrated with Google’s family of apps and data. It is also priced at similar levels to rival AI models. But more importantly the fact that Gemini was trained primarily on Google’s TPUs ( Broadcom is TPU’s partner ) as opposed to its rivals’ reliance on Nvidia and AMD chips, is a critical data point. TPUs aren’t as flexible as Nvidia’s GPUs, which can make them less usable in a market where hyperscalers are demanding the ability to reprogram their AI systems.

But TPUs are both cheaper to develop and use less power to run at full capacity. Similar story holds for Alibaba’ Qwen AI model (using their custom less expensive chips). And that fact is spooking the market in favor of pushing $GOOGL $AVGO $BABA and against $NVDA $AMD.

“Some investors are petrified that Alphabet will win the AI war due to huge improvements in its Gemini model and ongoing benefits from its custom TPU chip,” said Ben Reitzes, tech strategist at Melius Research.

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Please consider becoming a subscriber. You will get an exclusive access to my watchlists here and my private discord channel where I share my real-time trades with you to trade along with me. I spent considerable time/effort each day in compiling the best of the best trading strategies.